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What is Sprinkle?
In the rapidly evolving landscape of modern business, companies are required to swiftly adapt to the ever-changing preferences and demands of their clientele. To address this need, Sprinkle offers an agile analytics platform that effortlessly manages these expectations. Our founding mission was to streamline the data analytics process for organizations, removing the complexities associated with integrating data from various sources, adjusting to evolving schemas, and overseeing intricate pipelines. We have crafted an intuitive platform that enables individuals at all organizational levels to explore and analyze data without needing specialized technical skills. Leveraging our broad experience in data analytics and partnerships with industry giants like Flipkart, Inmobi, and Yahoo, we recognize the crucial role that skilled teams of data scientists, business analysts, and engineers play in producing valuable insights and reports. Despite this, many organizations struggle with straightforward self-service reporting and effective data exploration. By identifying this challenge, we developed a solution that allows businesses of all sizes to effectively leverage their data, ensuring they maintain a competitive edge in a data-centric environment. Ultimately, our platform is designed to empower organizations to make informed decisions driven by real-time insights, fostering a culture of data-driven decision-making across the board. This approach not only enhances operational efficiency but also drives innovation and growth within the organization.
What is DataLakeHouse.io?
DataLakeHouse.io's Data Sync feature enables users to effortlessly replicate and synchronize data from various operational systems—whether they are on-premises or cloud-based SaaS—into their preferred destinations, mainly focusing on Cloud Data Warehouses. Designed for marketing teams and applicable to data teams across organizations of all sizes, DLH.io facilitates the creation of unified data repositories, which can include dimensional warehouses, data vaults 2.0, and machine learning applications.
The tool supports a wide range of use cases, offering both technical and functional examples such as ELT and ETL processes, Data Warehouses, data pipelines, analytics, AI, and machine learning, along with applications in marketing, sales, retail, fintech, restaurants, manufacturing, and the public sector, among others.
With a mission to streamline data orchestration for all organizations, particularly those aiming to adopt or enhance their data-driven strategies, DataLakeHouse.io, also known as DLH.io, empowers hundreds of companies to effectively manage their cloud data warehousing solutions while adapting to evolving business needs. This commitment to versatility and integration makes it an invaluable asset in the modern data landscape.
Integrations Supported
Google Ads
SQL Server
Salesforce
Aiven for PostgreSQL
Apache Kafka
Calendly
Facebook Ads
Freshdesk
Google Analytics
Google Cloud BigQuery
Integrations Supported
Google Ads
SQL Server
Salesforce
Aiven for PostgreSQL
Apache Kafka
Calendly
Facebook Ads
Freshdesk
Google Analytics
Google Cloud BigQuery
API Availability
Has API
API Availability
Has API
Pricing Information
$499 per month
Free Trial Offered?
Free Version
Pricing Information
$99
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Sprinkle Data
Date Founded
2017
Company Location
United States
Company Website
www.sprinkledata.com
Company Facts
Organization Name
DataLakeHouse.io
Date Founded
2019
Company Location
United States
Company Website
datalakehouse.io
Categories and Features
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
Categories and Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Replication
Asynchronous Data Replication
Automated Data Retention
Continuous Replication
Cross-Platform Replication
Dashboard
Instant Failover
Orchestration
Remote Database Replication
Reporting / Analytics
Simulation / Testing
Synchronous Data Replication
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge